Position Summary...

What you'll do...

Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience.

We’re looking for a Senior Data Scientist to design and build advanced forecasting models to ensure accurate financial planning and analysis (FP&A) that power critical business decisions. You’ll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural networks for spatiotemporal and relational forecasting problems. You’ll partner closely with engineering, product, and stakeholders to deliver measurable impact at scale. 

What you'll do:

• Design and deploy Statistical and Machine Learning models to address high-impact financial forecasting needs, ensuring alignment with Walmart’s business objectives. 
• Perform statistical analysis across large data sets and within defined segments to empower data driven decisions. 
• Own E2E forecasting lifecycle, including problem scoping, data preparation and feature engineering, model development and experimentation, monitoring, back-testing and validations, along with performance optimizations. 
• Develop advanced time-series solutions using: 
  • Statistical models: ETS, ARIMA/SARIMA, State Space Models
  • ML approaches: Gradient Boosting (XGBoost/LightGBM), Random Forests, linear/elastic models with time-based features
  • Deep learning models: LSTM/GRU, Temporal Convolutional Networks (TCNs), transformer-based models such as TimesFM
• Implement probabilistic forecasting approaches and uncertainty quantification including quantile regression, Bayesian techniques, conformal prediction, and prediction intervals.
• Build explainable forecasting systems: model interpretability, feature attribution, drivers of change, scenario analysis, and stakeholder-facing narratives. 
• Apply graph-based and spatiotemporal modeling where relationships matter: GNNs, temporal graphs, graph embeddings. 
• Establish strong evaluation and monitoring: backtesting, leakage prevention, stability checks, drift detection, calibration of uncertainty, and post-deployment performance tracking. 
• Drive best practices in ML Ops and production readiness: reproducible pipelines, scalable training/inference, model versioning, and governance. 
• Build Agentic workflows to enable chat-based forecasting explainability and scenario planning. 
• Collaborate with cross-functional partners including Product, Business, Data Science and Engineering. 
• Mentor other junior data scientists, set modeling standards, and influence technical direction across teams. 

What will you bring:

• 6+ years of experience in Data Science / Applied ML, with deep hands-on exposure to forecasting and predictive modeling. 
• Demonstrated experience delivering production grade ML models with measurable business outcomes. 
• Strong functional knowledge of time series topics: seasonality, hierarchies, intermittent demand, holidays/events, promotions, missingness, outliers, anomaly detection, and regime changes. 
• Ability to translate ambiguous business problems into rigorous modeling plans and deliver results. 
• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and modern architectures for time series. 
• Practical experience with explainable AI methods and communicating model reasoning to non-technical stakeholders. 
• Excellent coding skills in Python; strong grasp of software engineering fundamentals (testing, packaging, code reviews). 
• Experience with CI/CD pipelines, containerization, and orchestration, including tools such as Git and Kubernetes 
• Experience developing and operating distributed machine learning systems at scale, including training, inference, and serving 
• Ability to collaborate with stakeholders across the organization to advocate for and implement trustworthy AI/ML practices 
• Strong communication skills, with experience presenting technical concepts, research findings, and product insights to technical and non-technical audiences 
• A research-driven, detail-oriented mindset, balanced with a bias toward execution and real-world impact 
• Commitment to engineering excellence, including automation, standards, and continuous improvement 
• A collaborative and ownership-oriented approach, with a history of clear communication and effective teamwork 
• High attention to detail and an ownership mindset in managing multiple high-impact projects. 
• A passion for lifelong learning, staying current with advances in AI/ML and GenAI, and engaging with the broader research and open-source communities
• Proficiency in Python, SQL and data visualization tools. 
• Experience using PyTorch/TensorFlow; scikit-learn; XGBoost/LightGBM and other models for production grade models. 
• Experience building solutions with time series libraries (statsmodels, Prophet-like tools, etc.) 
• Interest and exposure to explainability: SHAP, Integrated Gradients, permutation importance, counterfactuals. 

 

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India